What on Earth is Responsible Innovation anyway? (And how to make it happen)

The case for Responsible Innovation has been well articulated in the areas of science research and Corporate Social Responsibility in business. This paper presents a case for adopting a design-led approach in order to promote responsibility in innovation. It uses a case-study review of ten years of innovation projects to explore the similarities and differences between approaches to Social Innovation and Commercial Innovation in order to explore the values of design-led Responsible Innovation across these contexts. The research draws upon industry expertise, Masters projects and theoretical models. In particular it relates the attributes of the design-led approach to the four dimensions model proposed by Stilgoe et al. It concludes by proposing a framework that draws upon notions of Deep Empathy as proposed by Michlewski, Dynamic Mapping, Consequence Visioning and Toggling between micro and macro views. The study aims to demonstrate how adopting a design-led approach supports teams in pursuit of Responsible Innovation. It connects what we already understand about Responsible Innovation with what we know about design-led multidisciplinary innovation practices and establishes focus for future studies that will promote this type of practice as the norm. It is based upon the findings of a public debate and a review of Masters projects undertaken over the past decade. The paper concludes by proposing a framework approach in order to promote the identified attributes of design-led innovation and an assertion that we need to move beyond Responsible Innovation to Innovation for GOOD

Development of a World Health Organization International Reference Panel for different genotypes of hepatitis E virus for nucleic acid amplification testing.

Globally, hepatitis E virus (HEV) is a major cause of acute viral hepatitis. Epidemiology and clinical presentation of hepatitis E vary greatly by location and are affected by the HEV genotype. Nucleic acid amplification technique (NAT)-based assays are important for the detection of acute HEV infection as well for monitoring chronic cases of hepatitis E. The aim of the study was to evaluate a panel of samples containing different genotypes of HEV for use in nucleic NAT-based assays. The panel of samples comprises eleven different members including HEV genotype 1a (2 strains), 1e, 2a, 3b, 3c, 3e, 3f, 4c, 4g as well as a human isolate related to rabbit HEV. Each laboratory assayed the panel members directly against the 1 World Health Organization (WHO) International Standard (IS) for HEV RNA (6329/10) which is based upon a genotype 3 a strain. The samples for evaluation were distributed to 24 laboratories from 14 different countries and assayed on three separate days. Of these, 23 participating laboratories returned a total of 32 sets of data; 17 from quantitative assays and 15 from qualitative assays. The assays used consisted of a mixture of in-house developed and commercially available assays. The results showed that all samples were detected consistently by the majority of participants, although in some cases, some samples were detected less efficiently. Based on the results of the collaborative study the panel (code number 8578/13) was established as the "1st International Reference Panel (IRP) for all HEV genotypes for NAT-based assays" by the WHO Expert Committee on Biological Standardization. This IRP will be important for assay validation and ensuring adequate detection of different genotypes and clinically important sub-genotypes of HEV

Hepatitis E virus: whole genome sequencing as a new tool for understanding HEV epidemiology and phenotypes

Hepatitis E Virus (HEV) is emerging as a public health concern across Europe and tools for complete genome data to aid epidemiological and virulence analysis are needed. The high sequence heterogeneity observed amongst HEV genotypes has restricted most analyses to subgenomic regions using PCR-based methods, which can be unreliable due to poor primer homology. We designed a panel of custom-designed RNA probes complementary to all published HEV full genome NCBI sequences. A target enrichment protocol was performed according to the NimbleGen® standard protocol for Illumina® library preparation. Optimisation of this protocol was performed using 40 HEV RNA-positive serum samples and the World Health Organization International Reference Panel for Hepatitis E Virus RNA Genotypes for Nucleic Acid Amplification Technique (NAT)-Based Assays and related reference materials. Deep sequencing using this target enrichment protocol resulted in whole genome consensus sequences from samples with a viral load range of 1.25 × 104-1.17 × 107 IU/mL. Phylogenetic analysis of these sequences recapitulated and extended the partial genome results obtained from genotyping by Sanger sequencing (genotype 1, ten samples and genotype 3, 30 samples). The protocol is highly adaptable to automation and could be used to sequence full genomes of large sample numbers. A more comprehensive understanding of hepatitis E virus transmission, epidemiology and viral phenotype prediction supported by an efficient method of sequencing the whole viral genome will facilitate public health initiatives to reduce the prevalence and mitigate the harm of HEV infection in Europe